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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 4201
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    20439
    -0.72
     reconc
    -0.63
     glim
    -0.62
    ounced
    -0.61
    udicrous
    -0.61
    usters
    -0.58
     tremend
    -0.57
    TPPStreamerBot
    -0.56
    aum
    -0.55
    ounce
    -0.55
    POSITIVE LOGITS
     TBA
    0.88
    /
    0.74
    /*
    0.73
    ;;;;;;;;;;;;
    0.73
     TBD
    0.69
    advertising
    0.63
    /?
    0.63
     Territory
    0.63
    /**
    0.62
     pts
    0.60
    Activations Density 0.181%

    No Known Activations